White car 1

Object Detection

White car 1 Computer Vision Project


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Here are a few use cases for this project:

  1. Traffic Monitoring and Analysis: This computer vision model can be utilized for identifying different classes of cars in real-time traffic or in recorded footage from traffic cameras to analyze patterns, vehicle preferences, or even potential model-specific traffic issues.

  2. Parking Lot Management: The model can be employed for an intelligent parking system, that can easily identify car classes and allocate designated parking spaces, track available spots, or assist staff vehicles with priority parking.

  3. Automobile Industry Insights: Manufacturers and dealerships can extract valuable insights from various sources (e.g., social media, public cameras, events) to study the popularity of different car colors and models, allowing them to optimize inventory and understand consumer preferences.

  4. Augmented Reality Gaming: In the context of the given remote control car race track example, the model can be adopted for an interactive AR game, where players can participate in a racing competition or treasure hunt involving real-life cars of specific classes.

  5. Law Enforcement and Security: Authorities can use this model to identify and track specific classes of vehicles involved in any unlawful activity or suspects, and to manage access to restricted areas by prioritizing staff vehicles. This can also be helpful in locating lost or stolen vehicles.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ white-car-1_dataset,
    title = { White car 1 Dataset },
    type = { Open Source Dataset },
    author = { FScar },
    howpublished = { \url{ https://universe.roboflow.com/fscar/white-car-1 } },
    url = { https://universe.roboflow.com/fscar/white-car-1 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { aug },
    note = { visited on 2023-12-05 },

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Last Updated

a year ago

Project Type

Object Detection




Dark Silver, Green, Purple, Staff, White

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CC BY 4.0

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